Jobs at Databricks

Leads complex enterprise architecture engagements, technical and consumption strategy, executive customer relationships, platform adoption, competitive evaluations, and AI/data solutions. Serves as a Databricks technical authority, orchestrates cross-functional teams, mentors solutions architects, develops competitive strategies, and contributes to field engineering thought leadership. Responsibilities span enterprise migrations, real-time systems, lakehouse platforms, data governance, and AI/ML at scale.

Prospects and closes net-new enterprise accounts for Databricks’ cloud data platform. Develops account strategies, engages buying centers, identifies use cases, communicates technical and business value, orchestrates internal teams, negotiates deals, and exceeds sales quotas. The role requires SaaS, cloud, or big data sales experience, executive relationships, and the ability to sell complex technology to digital-native customers.

Leads complex enterprise customer engagements as a technical authority for Databricks data and AI solutions. Drives architecture, platform adoption, consumption strategy, competitive positioning, and executive relationships. Designs large-scale data, streaming, migration, governance, and AI/ML solutions; orchestrates cross-functional teams; mentors other solutions architects; and contributes to technical thought leadership. Requires advanced coding, enterprise data architecture expertise, Databricks proficiency, strategic account leadership, and executive communication.

Build and productionize customer data and AI solutions on Databricks. Own architecture, design decisions, data pipelines, applications, ML/AI integrations, and end-to-end deployment. Partner with customers, project managers, architects, engineering, product, and support teams to deliver measurable outcomes. Guide technical adoption, train stakeholders, resolve implementation issues, and create reusable frameworks. The role requires customer empathy, enterprise stakeholder management, technical project delivery, and travel to customers approximately 20% of the time.

Lead Databricks-centric customer engagements delivering data engineering, data science, and cloud solutions. Design and deploy end-to-end data architectures, implement and optimize Apache Spark workloads, guide migrations, provide escalated operational support, manage technical project delivery, document/whiteboard solutions, and collaborate with stakeholders. Travel to customers ~20%.

Drive net-new enterprise sales of Databricks’ cloud data platform to digital-native accounts. Develop account strategies, engage buying centers, identify use cases, communicate technical and business value, orchestrate internal teams, negotiate, and close deals. The role requires SaaS, PaaS, cloud, or big data sales experience, executive customer relationships, quota achievement, and success winning new business.

Lead and develop a team of Account Executives serving Commercial customers. Drive platform adoption, consumption growth, expansion, net retention, and workload discovery through strategic account planning and executive relationships. Coach sellers on value-based selling, cross-functional orchestration, upselling, churn mitigation, forecasting, and pipeline management. Translate technical architectures into measurable business outcomes and ROI while supporting high-impact expansion opportunities through occasional travel.

Leads AI/ML architecture strategy for customers, designing production-grade solutions involving RAG, agentic systems, guardrails, evaluation, and observability. Advises senior technical stakeholders, drives Databricks adoption and consumption, leads competitive technical engagements, coordinates cross-functional resources, and influences product direction. Requires strong Python and SQL skills, distributed data architecture expertise, public-cloud deployment experience, and willingness to travel up to 30%.

Lead customer-facing technical engagements spanning discovery, solution design, architecture reviews, proofs of concept, and platform demonstrations. Build production-quality data solutions and reusable technical assets using Python, SQL, cloud platforms, distributed data systems, analytics, and machine learning technologies. Partner with Account Executives to develop account strategies, expand platform adoption, and communicate Databricks’ differentiation.

Drive enterprise sales growth for Databricks across Fortune 500 CMEG accounts. Build relationships with executives and decision-makers, expand platform adoption into new business units, exceed pipeline and revenue targets, manage forecasts in Salesforce, and use value-based selling to communicate the benefits of Databricks’ data and AI platform. The role requires enterprise sales expertise, technical fluency in big data, cloud, SaaS, analytics, and AI, and the ability to manage strategic accounts independently.

Lead strategic enterprise sales for a major airline account, developing CIO and executive relationships, expanding Databricks adoption, driving value-based growth, exceeding revenue and pipeline targets, managing forecasts in Salesforce, and selling the Data Intelligence Platform powered by Apache Spark and Delta Lake.

Drive enterprise SaaS sales for Databricks by prospecting, identifying buying centers, developing account strategies, communicating platform value, guiding negotiations, closing new accounts, and expanding existing relationships. The role requires consultative selling of cloud, big data, and AI technologies, engagement with CIOs and decision-makers, quota attainment, and collaboration across teams.

Leads partner technical enablement and platform adoption for Customer Lake and Lakewatch. Co-architects enterprise data solutions, expands observability deployments, advises partner executives, creates reusable architectures and deployment blueprints, and coordinates cross-functional go-to-market initiatives. The role requires advanced coding, data architecture, Databricks, cloud, data governance, monitoring, and executive influence expertise, with responsibility for driving consumption growth and competitive enterprise wins.

Drive enterprise adoption of Databricks Genie by achieving consumption, bookings, and activation goals. Build executive-backed opportunities, develop repeatable field plays, enable account teams, and coordinate sales, solutions architecture, business units, and partners. Translate customer and market feedback into product and go-to-market recommendations while expanding production deployments. The role requires enterprise software sales or consulting experience in BI, analytics, data platforms, embedded analytics, or business-facing AI, along with complex buying-center navigation, value selling, land-and-expand execution, and partner strategy development.

Lead strategic enterprise sales for Databricks’ Data Intelligence Platform within a focused enterprise account. Build relationships with CIOs and business leaders, expand usage across business units, drive value-based growth, exceed pipeline and revenue targets, manage forecasts in Salesforce, and develop internal and customer success plans. The role requires selling big data, cloud, SaaS, analytics, and AI solutions to large accounts using a consumption-based model.

Lead analyst relations programs to improve Databricks’ positioning in industry evaluations, including Gartner, Forrester, and IDC. Develop differentiated narratives, submissions, demonstrations, customer evidence, and executive briefings. Scale analyst relations through AI-assisted workflows, convert analyst feedback into product and go-to-market recommendations, and influence product, marketing, sales, and executive teams. Manage multiple deadline-driven workstreams while improving analyst advocacy, market visibility, and evaluation outcomes.

The Director, AI Sales will grow Databricks’ enterprise AI business by driving strategic account adoption, production usage, bookings, and consumption. Responsibilities include developing AI sales plays, enabling field teams, securing executive and technical sponsorship, advancing complex opportunities, coordinating sales and partner stakeholders, and translating customer feedback into product and go-to-market recommendations.

Drive enterprise sales of Databricks’ cloud data platform across new and existing accounts. Develop territory plans, engage CIOs and other senior decision-makers, manage complex sales cycles, identify opportunities, exceed pipeline and revenue targets, maintain Salesforce forecasting data, and use solution-based selling to communicate the value of Databricks, Apache Spark, and big data technologies.

Lead GTM compensation strategy and programs: design pay frameworks, manage lifecycle compensation processes, analyze market and comp data, advise founders and senior leaders, and scale enterprise-wide compensation solutions.

Build and grow Databricks’ CustomerLake sales business across enterprise and strategic accounts. Partner with Account Executives to develop pipeline, engage CMOs and marketing leaders, lead complex evaluations and negotiations, create quantified business cases, and drive adoption and revenue. The role also develops repeatable sales plays, enables field teams and partners, and shapes the emerging CustomerLake sales strategy.